arithm.hpp File Reference

#include <opencv2/core.hpp>

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Namespaces
namespace	cv
namespace	cv::fastcv

Macros
#define	FCV_CMP_EQ(val1, val2)
#define	FCV_OPTYPE(depth, op)

Functions
void	cv::fastcv::arithmetic_op (InputArray src1, InputArray src2, OutputArray dst, int op)
	Arithmetic add and subtract operations for two matrices It is optimized for Qualcomm's processors.
void	cv::fastcv::gemm (InputArray src1, InputArray src2, OutputArray dst, float alpha=1.0, InputArray src3=noArray(), float beta=0.0)
	Matrix multiplication of two float type matrices R = a*A*B + b*C where A,B,C,R are matrices and a,b are constants It is optimized for Qualcomm's processors.
void	cv::fastcv::integrateYUV (InputArray Y, InputArray CbCr, OutputArray IY, OutputArray ICb, OutputArray ICr)
	Integral of a YCbCr420 image. Note: Input height should be multiple of 2. Input width and stride should be multiple of 16. Output stride should be multiple of 8. It is optimized for Qualcomm's processors.
void	cv::fastcv::matmuls8s32 (InputArray src1, InputArray src2, OutputArray dst)
	Matrix multiplication of two int8_t type matrices uses signed integer input/output whereas cv::gemm uses floating point input/output matmuls8s32 provides enhanced speed on Qualcomm's processors.

Macro Definition Documentation

FCV_CMP_EQ

#define FCV_CMP_EQ	(		val1,
			val2 )

Value:

(fabs(val1 - val2) < FLT_EPSILON)

FCV_OPTYPE

#define FCV_OPTYPE	(		depth,
			op )

Value:

((depth<<3) + op)